| Co-Investigator(Kenkyū-buntansha) |
MORI MASAO ASSOC. PROF. OF TOKYO INSTITUTE OF TECHNOLOGY, 工学部, 助教授 (80016568)
OHNO KATUHISA PROF. OF NAGOYA INSTITUTE OF TECHNOLOGY, 工学部, 教授 (50026118)
KAMEDA HISAO PROF. OF THE UNIV. OF ELECTRO-COMMUNICATION, 電気通信学部, 教授 (10011660)
TAKAHASHI YUKIO PROF. OF TO-HOKU UNIVERSITY, 経済学部, 教授 (70016153)
HASEGAWA TOSIHARU PROF. OF KYOTO UNIVERSITY, 工学部, 教授 (40025911)
|
|---|
| Budget Amount *help |
¥5,900,000 (Direct Cost: ¥5,900,000)
Fiscal Year 1988: ¥3,200,000 (Direct Cost: ¥3,200,000)
Fiscal Year 1987: ¥2,700,000 (Direct Cost: ¥2,700,000)
|
|---|
| Research Abstract |
This research deals with performance evaluation of traffic problems in designing information / communication networks. In information / communication metworks, such as in ISDN or LAN, many types of heterogeneous inputs, consisted of voice messages, data or image data are integrated to be processed or to be transmitted. Thus in this research, models for performance evaluation of traffics generated by composite inputs and for examining effects of introducing various communication protocols are mainly studied. For instances, models of multi-class voice / data packet networks, characteristics of loss systems with heterogeneous inputs, packet switching models with multiaccess broadcast channels, polling models and so on are analyzed extensively. Concerning network evaluations, several approximation methods and algolithmic approaches are proposed. And software packages for analyzing network models are reported also. As for Queueing Theory, which is considered to give fundamental methods to analyze traffic problems in information / communication networks, several interested results are obtained here, for example, approaches using basic equation, especially used to prove insensitivity properties of some systems. Algorithmic approaches to large scale stochastic systems, coming into the lime light with growing computer powers, are also our main themes in this research. New problems in this field will be born much with the growth of real networks, so it is neccessary to continue co-operative and extensive researches like this.
|
